Postgraduate Program IN
Data Science & Data Engineering
IN PARTNERSHIP WITH
Aligned With
3 Assured Interviews
Eligibility
Graduate
Duration
8 Months
Application Deadline: December 11, 2025
See what you’ll learn
5-month Core Foundation of Data Science
3-month Specialization : Data Engineering
180+ live hours in total of Expert-led sessions
Your learning roadmap
Job-ready Curriculum
START YOUR JOURNEY
- Build SQL skills to query and manage relational data: filtering, joins, aggregations, CTEs & window functions
- Understand database architecture and schema design for analytics
- Apply queries for reporting, segmentation & performance tracking
IN Partnership WITH edx | IBM
SKILLS COVERED
Data Modeling
ETL/ELT Pipeline Design & Orchestration
Metadata Management
Data Warehousing & Big-Data Processing
- Map the data lifecycle—from ingestion to BI
- Design dimensional schemas (star/snowflake) & build dbt incremental models
- Orchestrate and document pipelines with Airflow DAGs
FREQUENTLY ASKED QUESTIONS
Wondering if this Program is right for you?
Curriculum
Projects
Tools
Definitely! This program is beginner-friendly and designed to take you from foundational concepts to advanced data engineering techniques. We start by introducing you to the basics of data management, SQL, and Python, ensuring you're comfortable with handling data. As you progress, you’ll dive deeper into more complex topics like data pipelines, real-time data processing, and cloud platforms. Each step builds on the previous one, so you’ll gain the confidence to solve real-world data engineering challenges by the end of the program.
We start by answering the most basic questions:
- What is data engineering, and why is it important?
- How do businesses use data in decision-making?
- Our approach is gradual and structured. The first few modules focus on understanding data, learning about business applications, and developing a data-driven mindset. Only once you’re comfortable, we introduce coding and advanced concepts—step by step, so you never feel overwhelmed.
Think of this program as a ladder:
- Each module is a small step forward, making sure you build a strong foundation before moving to more advanced topics.
How we make it beginner-friendly:
- Simple, clear explanations—no technical jargon.
- Guided exercises with detailed walkthroughs.
- Real-world business examples to make concepts relatable.
- Learning support and Q&A sessions when you need help.
- By the time you reach the advanced sections, you’ll have built confidence in working with data.
